In the context of engineering design, often the functional objective and the design constraints are approximated by connecting the design variables and the responses of interest at few points on the design space. Since these are approximation of the original functions, they are called surrogates and are widely used in design studies. This course will focus on introducing such surrogates on how to build, evaluate and use them in design. Surrogates discussed will include polynomial regression, kriging and radial basis function while Desgin of Experiments discussions will include latin hypercube sampling and hammersley sequence.
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Final Exam (in-person, invigilated, currently conducted in India) is mandatory for Certification and has INR Rs. 1100 as exam fee.INTENDED AUDIENCE:
Final year UG, Masters and PhD Students, Design and simulation engineers/managers in industryCORE/ELECTIVE:
UG and PGPREREQUISITES:
Basic linear algebra.INDUSTRY SUPPORT:
Fiat Chrysler Automotive, Cyient, Mahindra.